Machine Learning Engineer

What you’ll do as an ML Engineer • Build and improve the tools and services that power our Data Science solutions, using technologies such as Python, AWS, Docker and Kubernetes.

• Collaborate with engineers, data scientists and business teams to understand challenges, explore opportunities and develop practical technical solutions.

• Support the development and deployment of machine learning solutions, contributing to automated delivery pipelines, testing, monitoring and performance improvements.

• Maintain and enhance existing Data Science platforms, tools and Python libraries to keep our systems reliable, efficient and scalable.

• Write clean, maintainable code and participate in code reviews, applying engineering best practices with support from experienced colleagues.

• Explore new ideas and technologies , contribute to proof-of-concept projects and share progress and learnings with colleagues across the business. What you’ll bring to the team • A foundation in software engineering , gained through a degree in Computer Science, Engineering, Mathematics or a related field, or relevant internship or industry experience.

• Confidence writing clean, structured Python code , with familiarity with libraries used in data science and machine learning.

• An understanding of modern development practices , including version control with Git, automated testing, object-oriented programming and continuous integration and delivery.

• Exposure to cloud and container technologies , such as AWS, Azure, Docker or Kubernetes, alongside an interest in building reliable, scalable solutions.

• An understanding of data and software integration , including basic SQL skills, application programming interfaces (APIs) and a willingness to develop your knowledge of production systems.

• A curious, proactive and collaborative mindset , with strong communication skills, a willingness to learn from others and enthusiasm for solving problems together.